π About Me
Hi, I'm Harjot Singh Raith, an AI and Data Science undergraduate at NMIMS Navi Mumbai (CGPA: 3.2/4.0) specializing in AI systems, Large Language Models, qualitative research automation, and intelligent scheduling systems.
- π¬ Research Experience: 2+ research internships at IIT Bombay with published work
- π Track Record: 8+ hackathon wins across 20+ competitions (national & international)
- π‘ Innovation: Built production-ready AI systems serving real-world use cases
- π Leadership: Head of Robotics Club, mentoring 50+ students
- π Impact: Developed tools processing 100K+ educational interaction logs
Research Intern @ IIT Bombay (eYantra, eRTS Lab) | June 2025 - Present
- Developing LLM-based tools for Thematic Analysis processing multi-format documents (PDF, DOCX, audio transcripts)
- Engineering FastAPI-PostgreSQL backend with automated codex generation reducing research time by 60%
- Designed React-based research platform with real-time visualizations, serving 100+ researchers
- Implemented RAG pipelines for intelligent document retrieval and summarization
Research Intern @ IIT Bombay (eYantra, eRTS Lab) | May 2024 - July 2024
- Analyzed 100K+ interaction logs from educational platforms using Python, advanced OCR, and ML models
- Identified critical resource-access patterns improving platform engagement by 35%
- Built predictive models for user behavior with 87% accuracy using scaffold analysis techniques
- Created comprehensive data visualizations enabling data-driven decision making for educators
- π Video Analysis and OCR Techniques for Collaborative Problem-Solving (May 2024 - Dec 2024)
- Published research on educational technology and collaborative learning
- π YTubeRAG: Leveraging YouTube Content for Enhanced LLM Training (Nov 2024 - May 2025)
- Novel RAG approach for training LLMs using video transcripts
- π AI-Driven Timetable Generation and Optimization Based Scheduling (Accepted for Publication, Jan 2025)
- Intelligent scheduling system using constraint optimization and ML
- π₯ Judges' Choice Award - eYIC 2023-24 Finals, IIT Bombay (Top 0.2% among 503 teams)
- π₯ 2nd Place - VOIS International Hackathon 2024 (India, Romania, Egypt)
- π 8+ Hackathon Wins across 20+ national & international competitions
- π¨βπΌ Head of Robotics Club - NMIMS Navi Mumbai (Managing 50+ members, July 2024 - Present)
- π― Competition Success Rate: 40% win rate in competitive hackathons
π΄ LiveWire - Real-time Collaborative Code Editor (AWS Global Vibe )
Impact: Real-time code compilation platform with AI-powered assistance
- Built collaborative IDE supporting 10+ programming languages with real-time synchronization
- Integrated Gemini AI for intelligent code suggestions and debugging assistance
- Implemented WebSocket architecture enabling seamless multi-user collaboration
- Tech Stack: Monaco Editor, Socket.IO, Express.js, MongoDB, Clerk Auth, Vercel
π€ ArgoMind AI - Maritime Intelligence System (SIH'25 - Runner Up)
Impact: AI-powered ship targeting and ocean disaster prediction system
- Developed automated ship targeting system processing real-time Argo oceanographic data
- Built ML models for ocean disaster prediction with 85%+ accuracy
- Created real-time dashboards with React visualizing maritime patterns and threats
- Implemented RAG system for intelligent maritime data retrieval and analysis
- Tech Stack: Flask, React, FastAPI, Docker, Gemini API, PostgreSQL
π TimeTableAI - Intelligent TimeTable Scheduling & Optimization Platform (Capstone Project)
Impact: Automated timetable generation reducing manual scheduling time by 90%
- Engineered constraint optimization algorithms handling 1000+ scheduling variables
- Built RAG-powered system for instant retrieval of scheduling policies and rules
- Developed full-stack platform with React frontend and FastAPI backend
- Integrated LLM capabilities for natural language scheduling requests
- Tech Stack: FastAPI, MongoDB, React, Vite, TailwindCSS, Docker, Gemini AI
π BIROS - Bio-Inspired Robotic Snake (Gujarat Robofest'25 - Winner)
Impact: Autonomous search & rescue robot for confined space exploration
- Designed serpentine robot using inverse kinematics for realistic snake-like movement
- Implemented CNN-based object detection for autonomous navigation in tight spaces
- Integrated LiDAR sensors for real-time environment mapping and obstacle avoidance
- Tech Stack: ESP32, OpenCV, Python, TensorFlow, VL53L0X LiDAR, Servo Motors
π Currently Open For:
- Full-time opportunities in AI/ML Engineering & Research
- Research collaborations in LLMs, RAG systems, and AI applications
- Challenging AI/ML projects with real-world impact
- Speaking engagements and technical workshops
π§ Contact: harjots.raith@gmail.com
πΌ LinkedIn: Harjot Singh Raith
π Portfolio: harjot.info
π Resume: Download CV
β° Availability: Immediate (Ready to start within 2 weeks)

